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Hi all,

I am having a bit of a hard time figuring out the best option to convert 
surface labels to mni volume masks.

For my ROI FS analysis, I divided the fsaverage S1 and M1 labels into 5 
sub-labels using mris_divide_parcellation. I then used mri_label2label to map 
those labels to each of my subjects to study differences in thickness among 2 
groups.

I am now trying to map those same labels from fsaverage to mni space in order 
to use them as ROI for resting-state connectivity analysis in the conn toolbox 
pipeline. From reading The Mail Archive I have come across multiple pieces of 
advice on how one might go about doing this. These range from a) using 
mri_label2vol and mri_vol2vol; b) creating a new annotation file for fsaverage 
from the labels and using mri_aparc2aseg and then mri_vol2vol; to c) running 
mni152 through recon-all.

As you can probably tell by now, I am a bit confused about the most efficient 
and accurate way to accomplish this.

any advice would be greatly appreciated.

Luis R. Alvarado

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